Research Area

Application of state-of-the-art AI/ML techniques to hydrometeorological hazard forecasting

Advancing flood forecasting and early warning systems through remote sensing and unstructured data

Integrating social big data and digital technologies for water-related hazard prevention and mitigation

Conceptualization and analysis of water-related compound hazards

Spatiotemporal analysis of the co-occurrence between hydrological hazards and cross-sectoral disasters

Probabilistic risk assessment of compound and cascading hazards at global or regional scales

Assessment of climate change impacts on extreme occurrences in rainfall and runoff events

Projection of future multi-hazard scenarios using state-of-the-art climate model simulations

Development of statistical approaches that incorporate large-sample outputs from climate simulations

Developing a network-based model to investigate relationships between multi-hazard events and water-related infrastructure systems

Assessing the social and human impacts resulting from infrastructure failures

Proposing a resilience estimation framework that accounts for both natural hazards and social disasters